The SF Dev

Enterprise Salesforce consulting & engineering

We take on the Salesforce work other teams struggle with — greenfield org architecture, OmniStudio applications, high-volume integrations, and compliance-grade security — engineered to hold up under growth and scrutiny.

15+
Enterprise implementations delivered
Salesforce certified
100K+
Files migrated Salesforce → AWS
35%
Manual effort absorbed by automation

Integration architecture

Salesforce at the head of the integration bus

Integrations fail at 2 a.m. — ours are engineered to recover on their own. Every connection below has shipped in production work.

  • AWS (S3, storage)
  • Email Platforms
  • REST APIs
  • Payment Platforms
  • SOAP APIs
  • ERP & Accounting
  • WordPress
  • Make.com
  • Slack
  • Nintex DocGen
  • WhatsApp
  • Adobe Sign
  • OAuth 2.0 + Named Credentials — no secrets in code
  • Idempotent writes so retries can never duplicate records
  • Error ledgers and replay instead of silent failures
  • Bulk and Composite APIs to respect org limits at volume

AI-enhanced engineering

Accelerating enterprise delivery with AI-assisted workflows

We pair experienced Salesforce engineering with modern AI-assisted development — faster iteration and less repetitive work, while architecture, security, and testing standards stay firmly in human hands.

  1. 01Business Requirements
  2. 02Solution Architecture
  3. 03AI Engineering Assist
  4. 04Development
  5. 05Testing
  6. 06Deployment
  7. 07Continuous Optimization

Architecture stays human-owned

AI accelerates the repetitive middle — boilerplate, test scaffolding, refactors. Data models, security design, and integration contracts are decided by engineers and reviewed like any other change.

Everything still earns its tests

AI-assisted code goes through the same gate as hand-written code: bulk-safe patterns, meaningful unit tests, and CI/CD checks before any deployment.

Security is never delegated

CRUD/FLS enforcement, sharing checks, and compliance controls are verified by people. No generated code touches a regulated org without review.

Built for scale

Engineered for high-volume, high-stakes orgs

Salesforce implementations behave differently at enterprise volume. We design for the day your org is 10× busier — governor limits, API budgets, and sharing performance are architecture inputs from the first diagram.

Proven at volume: 100K+ files migrated from Salesforce to AWS S3 through batch Apex pipelines with per-file error tracking — and 35% of manual effort absorbed by bulk-safe automation in production orgs.

Enterprise data volume

Data models and query patterns designed for millions of records, not demo orgs.

Governor-limit management

Bulk-safe Apex frameworks that treat limits as design inputs, not surprises.

Asynchronous processing

Batch, Queueable, and scheduled pipelines for work that outgrows a transaction.

Platform Events

Event-driven sync that scales without burning API budget on polling.

Large file migration

100K+ files moved Salesforce → AWS S3 with per-file error ledgers and replay.

Caching & API budgets

Rate-limit-aware layers so portal traffic never competes with staff for capacity.

Secure at scale

Sharing architectures that stay performant as role hierarchies grow.

Complex org architecture

Multi-location, multi-business-unit orgs with centralized governance.

How we deliver

From business challenge to running platform

No black boxes and no big-bang launches — every engagement moves through visible, testable stages.

  1. 01Business Challenge

    The problem in your words — not a feature list.

  2. 02Discovery Workshop

    Processes, systems, and data mapped before any build.

  3. 03Solution Architecture

    Written blueprint: scope, design, budget, milestones.

  4. 04Salesforce Development

    Sprints with demos, code review, automated tests.

  5. 05Integration Layer

    Secure, idempotent connections to the rest of your stack.

  6. 06Quality Assurance

    UAT plus bulk testing against production-scale data.

  7. 07Deployment

    Pipeline-driven, gated releases — no cowboy changes.

  8. 08Support & Optimization

    Hypercare, then monthly enhancement cadence.

Technology

Deep across the Salesforce ecosystem

Expand any card for use cases, related products, and where we've shipped it — every technology here has run in production work, not just on a slide.

Salesforce Platform

  • Typical use cases

    • Trigger frameworks with recursion guards for high-volume orgs
    • Batch pipelines for migrations and scheduled processing

    Works with: Flow, Platform Events, REST APIs

    Batch Apex moved 100K+ files to AWS S3 with per-file error ledgers and replay.

  • Typical use cases

    • Custom consoles and record pages that replace clunky layouts
    • Portal UIs with external JS libraries, mobile-responsive

    Works with: Experience Cloud, Aura migration targets, Apex controllers

    LWC suites shipped for community portals, HR/timesheet tools, and B2B commerce.

  • Typical use cases

    • Before-save automation replacing legacy Workflow Rules
    • Guided screen flows with validation checkpoints

    Works with: Apex (where Flow ends), Approval Processes, Scheduler

    Flow + Apex automation absorbed 35% of manual effort in production orgs.

  • Typical use cases

    • Multi-step intake/screening apps with draft & resume
    • FlexCard dashboards with custom events and pub/sub

    Works with: Experience Cloud, FSC guided processes, DataRaptors

    End-to-end interview screening platform built OmniStudio-first, minimal Apex.

  • Typical use cases

    • Stabilize legacy pages while planning LWC migration
    • Incremental component-by-component modernization

    Works with: Lightning Web Components, Experience Cloud

    Maintained and migrated Visualforce/Aura estates in HR and commerce orgs.

  • Typical use cases

    • Real-time sync to finance and external systems
    • Decoupled automation across org boundaries

    Works with: Change Data Capture, Queueable Apex, REST APIs

    Event-driven finance sync kept balances current without a single polling job.

  • Typical use cases

    • Approval-gated portal self-registration
    • Order and lifecycle sign-offs with audit history

    Works with: Flow, Experience Cloud, Email alerts

    Approval-based registration with automated notifications shipped for pharma B2B.

  • Typical use cases

    • Executive dashboards for utilization and performance
    • Location-level operational reporting

    Works with: Sales/Service Cloud, custom report types

    Reporting layers delivered for healthcare, FSC, and multi-location operations.

20more across Salesforce Clouds & Products and Integrations & Ecosystem

Why The SF Dev

Chosen for the work other teams find hard

Every claim below is backed by shipped implementations — the case studies carry the details and the numbers.

Certified, specialized engineering

7× Salesforce certified across Platform Developer, Data Cloud, and Agentforce — and the work to back it: OmniStudio applications, FSC relationship models, EDA multi-campus architecture.

Modern development practices

Version control, code review, CI/CD with Copado, and AI-assisted workflows — engineering discipline applied to Salesforce, where 'it works in the sandbox' isn't a quality bar.

Compliance-grade security

HIPAA-aligned sharing architectures, private OWD models, and audit documentation (DCS, IQ, SOP) delivered as part of the work — not retrofitted when the auditor calls.

Performance under volume

Bulk-safe frameworks, async pipelines, and API-budget-aware integrations — proven by 100K+ file migrations and orgs that stay fast as they grow.

Maintainability as a deliverable

Naming conventions, ER diagrams, and documented automation maps ship with every org — the next team (yours or ours) inherits clarity, not archaeology.

Transparent delivery

Weekly demos of working software, written scope with clear assumptions, and honest answers — including 'you don't need to build that.'

Testimonials

Teams that stopped fighting their tools

What clients say after the platform starts working for them.

They architected our org from nothing — data model, security, scheduling, all of it. The automation quietly absorbed a third of our administrative workload, and we've had zero double-bookings since go-live. In a regulated business, that reliability is everything.
Operations Director
Multi-location healthcare organization, Healthcare & Learning Services
Over a hundred thousand files moved to AWS without losing a single one. What impressed us most was the error ledger — every transfer accounted for, every failure explained and retried. That's the engineering standard we'd been missing.
IT Director
International dental technology company, Software & Manufacturing
Our campuses finally run on one platform without anyone feeling like they lost control of their data. The sharing architecture matched how our institution actually works — that's why adoption held long after the training workshops ended.
University Administrator
Multi-campus institution, Higher Education

FAQ

Frequently asked questions

Straight answers to the questions we hear most.

Let's build something your team is proud to use

Tell us where your platform hurts. You'll get a straight assessment and a concrete plan — free, and yours to keep either way.